Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Murong, Ying, Shihui, Xu, Xin-Jian, Gao, Yue |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model
by: Deng, Chong, et al.
Published: (2023)
by: Deng, Chong, et al.
Published: (2023)
Bayesian experimental design: grouped geometric pooled posterior via ensemble Kalman methods
by: Yang, Huchen, et al.
Published: (2026)
by: Yang, Huchen, et al.
Published: (2026)
Perfect Clustering in Nonuniform Hypergraphs
by: Chan, Ga-Ming Angus, et al.
Published: (2025)
by: Chan, Ga-Ming Angus, et al.
Published: (2025)
Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026)
by: Zabolotnii, Serhii
Published: (2026)
Unbiased least squares regression via averaged stochastic gradient descent
by: Kahalé, Nabil
Published: (2024)
by: Kahalé, Nabil
Published: (2024)
Optimization of geometric hypergraph embedding
by: Zigliotto, Francesco, et al.
Published: (2025)
by: Zigliotto, Francesco, et al.
Published: (2025)
PCA-Guided Quantile Sampling: Preserving Data Structure in Large-Scale Subsampling
by: Hui-Mean, Foo, et al.
Published: (2025)
by: Hui-Mean, Foo, et al.
Published: (2025)
Revisiting semi-supervised training objectives for differentiable particle filters
by: Li, Jiaxi, et al.
Published: (2024)
by: Li, Jiaxi, et al.
Published: (2024)
Matrix Concentration for Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model
by: Robertson, Sawyer Jack
Published: (2024)
by: Robertson, Sawyer Jack
Published: (2024)
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
Branching Stein Variational Gradient Descent for sampling multimodal distributions
by: Bañales, Isaías, et al.
Published: (2025)
by: Bañales, Isaías, et al.
Published: (2025)
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC
by: Andrieu, Christophe, et al.
Published: (2021)
by: Andrieu, Christophe, et al.
Published: (2021)
Hypergraph Extensions of Spectral Turán Theorem
by: Liu, Lele, et al.
Published: (2024)
by: Liu, Lele, et al.
Published: (2024)
Subsampling Error in Stochastic Gradient Langevin Diffusions
by: Jin, Kexin, et al.
Published: (2023)
by: Jin, Kexin, et al.
Published: (2023)
Ensemble-Based Annealed Importance Sampling
by: Chen, Haoxuan, et al.
Published: (2024)
by: Chen, Haoxuan, et al.
Published: (2024)
SDSR: A Spectral Divide-and-Conquer Approach for Species Tree Reconstruction
by: Reshef, Ortal, et al.
Published: (2026)
by: Reshef, Ortal, et al.
Published: (2026)
Targeted Disruption of Hypernetworks via Spectral Partitioning
by: Bailey, Mark M., et al.
Published: (2026)
by: Bailey, Mark M., et al.
Published: (2026)
Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process
by: Koike, Yuta
Published: (2026)
by: Koike, Yuta
Published: (2026)
Nonparametric learning of stochastic differential equations from sparse and noisy data
by: Ganguly, Arnab, et al.
Published: (2025)
by: Ganguly, Arnab, et al.
Published: (2025)
Multi-Iteration Stochastic Optimizers
by: Carlon, Andre, et al.
Published: (2020)
by: Carlon, Andre, et al.
Published: (2020)
Error Bounds for Importance Sampling with Estimated Proposal Distributions
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
by: Chada, Neil K., et al.
Published: (2023)
by: Chada, Neil K., et al.
Published: (2023)
Hypertrees and their host trees: a survey
by: Di Fonzo, Pablo De Caria
Published: (2025)
by: Di Fonzo, Pablo De Caria
Published: (2025)
Hypergraph coverings and Ramanujan Hypergraphs
by: Song, Yi-Min, et al.
Published: (2023)
by: Song, Yi-Min, et al.
Published: (2023)
Efficient Risk Estimation for the Credit Valuation Adjustment
by: Giles, Michael B., et al.
Published: (2023)
by: Giles, Michael B., et al.
Published: (2023)
Forward Reverse Kernel Regression for the Schrödinger bridge problem
by: Belomestny, Denis, et al.
Published: (2025)
by: Belomestny, Denis, et al.
Published: (2025)
Weighted mesh algorithms for general Markov decision processes: Convergence and tractability
by: Belomestny, Denis, et al.
Published: (2024)
by: Belomestny, Denis, et al.
Published: (2024)
Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems
by: Gruhlke, Robert, et al.
Published: (2025)
by: Gruhlke, Robert, et al.
Published: (2025)
A Langevin sampling algorithm inspired by the Adam optimizer
by: Leimkuhler, Benedict, et al.
Published: (2025)
by: Leimkuhler, Benedict, et al.
Published: (2025)
On sample complexity for covariance estimation via the unadjusted Langevin algorithm
by: Nakakita, Shogo
Published: (2026)
by: Nakakita, Shogo
Published: (2026)
Metric-Based Granular Computing in Networks
by: Arshad, Hibba, et al.
Published: (2025)
by: Arshad, Hibba, et al.
Published: (2025)
Efficient Data Reduction Via PCA-Guided Quantile Based Sampling
by: Hui-Mean, Foo, et al.
Published: (2026)
by: Hui-Mean, Foo, et al.
Published: (2026)
Adaptive Riemannian Manifold Hamiltonian Monte Carlo with Hierarchical Metric
by: Kailas, Miika, et al.
Published: (2026)
by: Kailas, Miika, et al.
Published: (2026)
Preconditioned Regularized Wasserstein Proximal Sampling
by: Tan, Hong Ye, et al.
Published: (2025)
by: Tan, Hong Ye, et al.
Published: (2025)
Resolvability in Hypergraphs
by: Javaid, Imran, et al.
Published: (2014)
by: Javaid, Imran, et al.
Published: (2014)
Hypergraph saturation for the bow tie
by: Cambie, Stijn, et al.
Published: (2024)
by: Cambie, Stijn, et al.
Published: (2024)
Existential Closure in Uniform Hypergraphs
by: Burgess, Andrea C., et al.
Published: (2024)
by: Burgess, Andrea C., et al.
Published: (2024)
Hypergraphs of girth 5 and 6 and coding theory
by: Haymaker, Kathryn, et al.
Published: (2024)
by: Haymaker, Kathryn, et al.
Published: (2024)
Scalable tensor methods for nonuniform hypergraphs
by: Aksoy, Sinan G., et al.
Published: (2023)
by: Aksoy, Sinan G., et al.
Published: (2023)
Record-based transmuted unit omega distribution: different methods of estimation and applications
by: Pathak, Ashok Kumar, et al.
Published: (2024)
by: Pathak, Ashok Kumar, et al.
Published: (2024)
Similar Items
-
Strong Consistency of Spectral Clustering for the Sparse Degree-Corrected Hypergraph Stochastic Block Model
by: Deng, Chong, et al.
Published: (2023) -
Bayesian experimental design: grouped geometric pooled posterior via ensemble Kalman methods
by: Yang, Huchen, et al.
Published: (2026) -
Perfect Clustering in Nonuniform Hypergraphs
by: Chan, Ga-Ming Angus, et al.
Published: (2025) -
Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026) -
Unbiased least squares regression via averaged stochastic gradient descent
by: Kahalé, Nabil
Published: (2024)